Disease classification.
Most medical systems formulate disease diagnosis as an image classification task. The types of diseases are predefined and each type corresponds to one category. During the classification process, there are single or multiple images as input for disease diagnosis. In [1]}, a multi-scale CNN was proposed to capture the feature representation of lung nodule patches for accurate classification. A multi-instance layer and a multi-scale layer were proposed in [2]} to diagnose diabetic macular edema and myopic macular degeneration. Besides diagnosing the types of disease, existing medical systems were also able to predict the disease status [3]} by empirical status categorization.
